Predicting Treatment Response in Female Adolescents With Non-Suicidal Self-Injury Using Neurophysiological Biomarkers and Machine Learning
Our findings suggest that qEEG features, combined with machine learning, can effectively predict treatment response in adolescents with NSSI, supporting their use as neurophysiological biomarkers for individualized care.
Authors
- Jun Won Kim (ORCID: https://orcid.org/0000-0001-6793-3006)
- Seng Yoon Kim
Institutions
- Daegu Catholic University (KR)
Publication Details
- Journal
- Psychiatry Investigation
- Published
- 2025-12-17
- DOI
- https://doi.org/10.30773/pi.2025.0256
- Primary Topic
- Suicide and Self-Harm Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Catholic University of Daegu